Gesture Game Pause Resume Player Outline Detection
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Solution Overview
Problem
Gesture-based game systems face challenges in efficiently pausing and resuming gameplay when players move out of the camera's recognition range, leading to disruptions and difficulties in accurately detecting player gestures for resuming the game.
Innovation Solution
The system captures a first image of the player upon receiving a pause command, generates an outline based on this image, and then checks if a subsequent image matches this outline when the player returns to the recognition range, using edge detection and x-y coordinate calculations to determine if the game should be resumed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system continuously monitors player presence for resume detection, then player detection accuracy is improved, but system complexity and processing load increase
Solution Approach 1:
The system captures a reference image of the player at the pause moment and generates an outline template in advance. This preliminary action stores the player's posture information before they move out of range, enabling accurate detection upon return without requiring continuous complex monitoring during the pause period.
Solution Approach 2:
The system creates a simplified copy of the player's appearance in the form of an outline template. This outline serves as a reference model that can be efficiently compared against new images when the player returns, reducing the complexity of real-time player verification while maintaining detection accuracy.
2Measurement precision
If the system waits for player return to resume the game, then gesture recognition accuracy is improved, but game resume time is delayed
Solution Approach 1:
The system performs preliminary actions by capturing the player's reference image and generating the outline template at the moment of pausing. This preparation is done in advance while the player is still in range, so when the player returns, the system can immediately compare the new image against the pre-prepared template and quickly resume the game without prolonged waiting.
3Reliability
If the system captures and processes player images for pause/resume functionality, then player detection reliability is improved, but processing time and computational resources increase
Solution Approach 1:
The system extracts only the essential features of the player by generating an outline template from the full reference image. This extraction process removes unnecessary detailed information while retaining the key posture characteristics, reducing the computational burden of image comparison while maintaining reliable player detection capability.
Solution Approach 2:
The system creates a simplified outline copy of the player's posture as a reference template. This outline representation requires less computational resources to store and compare than full images, enabling reliable player detection during resume operations with reduced processing time and computational overhead.
Data Source
AI summary
Technologies are generally described for pausing and resuming a gesture-based game. In some examples, a method performed under control of a gesture-based game system includes receiving a pause command that indicates pausing play of a gesture-based game and in response to the receipt of the pause command, capturing a first image of a player currently playing the gesture-based game, the first image being associated with a first posture of the player substantially at the time of the pause command and generating an outline of the player corresponding to the first image of the player.